Data Quality Expert

Job Description

REQUIREMENTS

• Hands-on experience with:
  • Azure Data Factory (ADF)
  • Azure Databricks
• Strong SQL expertise for querying, profiling, validation, and troubleshooting.
• Strong understanding of:
  • Data Quality Management
  • Data Governance
  • Data Lifecycle Management
  • ETL Processes
  • Data Modeling Concepts
• Experience identifying and resolving data quality issues in complex enterprise environments.
• Experience working with cloud-based data ecosystems (Azure preferred).

Strongly Preferred Skills

• SAP BODS (BusinessObjects Data Services) experience.
• Experience with one or more Data Quality / Data Governance tools:
  • Collibra
  • Informatica IDQ
  • Microsoft Purview
  • Alation
  • Apache Atlas
• Talend
• Knowledge of Data Warehousing concepts and Big Data technologies.

Qualifications

• Bachelor’s degree in:
  • Computer Science
  • Information Systems
  • Data Analytics
  • Or a related technical field
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Experience

• Experience in enterprise Data Quality programs and governance initiatives.
• Exposure to modern data platforms and large-scale data environments.
• Ability to work in fast-paced, cross-functional environments with minimal supervision.

RESPONSIBILITIES

• Collaborate with cross-functional teams to establish and enforce enterprise data quality standards and best practices.
• Use SQL to extract, analyze, profile, and validate data to identify inconsistencies, anomalies, and quality issues.
• Design, develop, and maintain data quality rules, validation frameworks, monitoring processes, and reconciliation mechanisms.
• Build and support ETL/data integration workflows using Azure Data Factory (ADF) and Azure Databricks.
• Perform root cause analysis for data quality issues and implement corrective and preventive actions.
• Work closely with Data Engineering, Analytics, and Business teams to ensure high-quality, trusted data availability.
• Support metadata management, data lineage tracking, and data governance initiatives.
• Develop and maintain data quality dashboards, KPIs, scorecards, and reporting mechanisms.
• Assist in data mapping, data inventory management, and documentation of operational processes.
• Ensure adherence to data governance policies and enterprise data management standards.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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